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19,165 results

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Page 1
Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review.
Yin J, Ngiam KY, Teo HH. Yin J, et al. J Med Internet Res. 2021 Apr 22;23(4):e25759. doi: 10.2196/25759. J Med Internet Res. 2021. PMID: 33885365 Free PMC article.
BACKGROUND: Artificial intelligence (AI) applications are growing at an unprecedented pace in health care, including disease diagnosis, triage or screening, risk analysis, surgical operations, and so forth. Despite a great deal of research in the development and val …
BACKGROUND: Artificial intelligence (AI) applications are growing at an unprecedented pace in health care, including disease d …
Artificial Intelligence-Driven Personalized Medicine: Transforming Clinical Practice in Inflammatory Bowel Disease.
Iacucci M, Santacroce G, Yasuharu M, Ghosh S. Iacucci M, et al. Gastroenterology. 2025 Aug;169(3):416-431. doi: 10.1053/j.gastro.2025.03.005. Epub 2025 Mar 10. Gastroenterology. 2025. PMID: 40074186 Free article. Review.
Artificial intelligence-driven intestinal barrier healing assessment provides novel insights into deep healing, facilitating the discovery of novel therapeutic targets. ...The future of inflammatory bowel disease care lies in the artificial intelligence
Artificial intelligence-driven intestinal barrier healing assessment provides novel insights into deep healing, facilitating t
Artificial intelligence and its clinical application in Anesthesiology: a systematic review.
Lopes S, Rocha G, Guimarães-Pereira L. Lopes S, et al. J Clin Monit Comput. 2024 Apr;38(2):247-259. doi: 10.1007/s10877-023-01088-0. Epub 2023 Oct 21. J Clin Monit Comput. 2024. PMID: 37864754 Free PMC article.
PURPOSE: Application of artificial intelligence (AI) in medicine is quickly expanding. Despite the amount of evidence and promising results, a thorough overview of the current state of AI in clinical practice of anesthesiology is needed. ...CONCLUSION: …
PURPOSE: Application of artificial intelligence (AI) in medicine is quickly expanding. Despite the amount of evidence and prom …
History of artificial intelligence in medicine.
Kaul V, Enslin S, Gross SA. Kaul V, et al. Gastrointest Endosc. 2020 Oct;92(4):807-812. doi: 10.1016/j.gie.2020.06.040. Epub 2020 Jun 18. Gastrointest Endosc. 2020. PMID: 32565184 Review.
Artificial intelligence (AI) was first described in 1950; however, several limitations in early models prevented widespread acceptance and application to medicine. ...Now that AI systems are capable of analyzing complex algorithms and self-learning, we enter a new a
Artificial intelligence (AI) was first described in 1950; however, several limitations in early models prevented widespread ac
Artificial intelligence and machine learning for clinical pharmacology.
Ryan DK, Maclean RH, Balston A, Scourfield A, Shah AD, Ross J. Ryan DK, et al. Br J Clin Pharmacol. 2024 Mar;90(3):629-639. doi: 10.1111/bcp.15930. Epub 2023 Nov 12. Br J Clin Pharmacol. 2024. PMID: 37845024 Free article. Review.
Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug discovery and development, clinical trials, personalized medicine, pharmacogenomics, pharmacovigilance and clinical toxicology. The rapid progress of
Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug discovery and developmen
Artificial intelligence in medicine: Ethical, social and legal perspectives.
Sung J. Sung J. Ann Acad Med Singap. 2023 Dec 28;52(12):695-699. doi: 10.47102/annals-acadmedsg.2023103. Ann Acad Med Singap. 2023. PMID: 38920162 Free article.
Artificial intelligence (AI) has permeated into every aspect of medicine and promises to provide accurate diagnosis, better management decision and improved outcome for patients and healthcare system. ...This manuscript is based on the Gordon Arthur Ransome Lecture
Artificial intelligence (AI) has permeated into every aspect of medicine and promises to provide accurate diagnosis, better ma
Artificial intelligence & clinical nutrition: What the future might have in store.
Bond A, Mccay K, Lal S. Bond A, et al. Clin Nutr ESPEN. 2023 Oct;57:542-549. doi: 10.1016/j.clnesp.2023.07.082. Epub 2023 Jul 22. Clin Nutr ESPEN. 2023. PMID: 37739704 Review.
Artificial Intelligence (AI) is a rapidly emerging technology in healthcare that has the potential to revolutionise clinical nutrition. ...Further research is needed to assess the clinical effectiveness and safety of AI-powered nutrition interventions.
Artificial Intelligence (AI) is a rapidly emerging technology in healthcare that has the potential to revolutionise clinica
Role of artificial intelligence in MS clinical practice.
Bonacchi R, Filippi M, Rocca MA. Bonacchi R, et al. Neuroimage Clin. 2022;35:103065. doi: 10.1016/j.nicl.2022.103065. Epub 2022 May 28. Neuroimage Clin. 2022. PMID: 35661470 Free PMC article. Review.
Machine learning (ML) and its subset, deep learning (DL), are branches of artificial intelligence (AI) showing promising findings in the medical field, especially when applied to imaging data. ...In this narrative review, we are going to discuss the potential applic …
Machine learning (ML) and its subset, deep learning (DL), are branches of artificial intelligence (AI) showing promising findi …
Artificial intelligence in cardiology.
Itchhaporia D. Itchhaporia D. Trends Cardiovasc Med. 2022 Jan;32(1):34-41. doi: 10.1016/j.tcm.2020.11.007. Epub 2020 Nov 23. Trends Cardiovasc Med. 2022. PMID: 33242635 Review.
This review examines the current state and application of artificial intelligence (AI) and machine learning (ML) in cardiovascular medicine. AI is changing the clinical practice of medicine in other specialties. ...
This review examines the current state and application of artificial intelligence (AI) and machine learning (ML) in cardiovasc …
Artificial Intelligence in Breast Imaging: Challenges of Integration Into Clinical Practice.
Ozcan BB, Patel BK, Banerjee I, Dogan BE. Ozcan BB, et al. J Breast Imaging. 2023 May 22;5(3):248-257. doi: 10.1093/jbi/wbad007. J Breast Imaging. 2023. PMID: 38416888 Review.
Artificial intelligence (AI) in breast imaging is a rapidly developing field with promising results. Despite the large number of recent publications in this field, unanswered questions have led to limited implementation of AI into daily clinical practice
Artificial intelligence (AI) in breast imaging is a rapidly developing field with promising results. Despite the large number
19,165 results
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